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Advanced Informatics for Computing Research : 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16–17, 2023, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Uttam Ghosh, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16–17, 2023, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Uttam Ghosh, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XV, 375 p. 141 illus., 108 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision |
| ISBN | 3-031-84062-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Forcasting stock values by intergrating GANN Square analysis with Artificial Intelligence (AI) -- Face Spoof Detection: The Preprocessing Paradigm -- Traffic Sign Recognition using Convolutional Neural Networks with Transfer Learning for Advanced Driving Assistance Systems (ADAS) -- Analyzing the Criticalness of “The Silent Killer” Using Machine Learning -- AI-Optimized Erection of Landslide-Resistant Retaining Structures through Heterogeneous Composite Nanomaterials: A Computerized Algorithmic Breakthrough -- Do Software Refactoring Reflects Developers’ Perception about Software’s Code Smells and Its Quality: An Empirical Study -- Transfer Learning for Pneumonia Classification from DICOM Medical Imaging Data -- A Study to explore AI techniques used for analyzing the impact and severity of detrimental human health effects caused by Agrochemicals -- Distance Metric Selection for AIS Data Clustering using DBSCAN and ST-DBSCAN -- Fake News Detection and Classification Using DeepLearning Techniques for Social Media text -- Real-time Resource Allocation for Electric Vehicle Charging Stations using Reinforcement Learning -- Data Science -- Data Sciences: Cutting Edge Tools and Techniques -- Exploratory Data Analysis of Phishing URL Detection Using Gradient Boosting Classifier -- Human computer interaction (HCI) -- Advancing Healthcare Systems with Low-Power and Efficient Double Tail Dynamic Latch Comparator -- SAMBHAV: Socially Sensed, Accessible, Mobile, Behaviour-based and Human-centric Smart Wearable Devices Aimed for Visually impaired and persons with allied disabilities -- Machine Learning -- Multi-Disease Classification and Prediction using Dense Visual Attention Network and Residual Network for: A Computer Vision Approach -- Enhancing Text Extraction using OCR with AWS Textract Service -- A Study: Recognition of Facial Emotions using Deep Learning -- Machine learning-based systems for diagnosing multiple diseases and providing dietary recommendations -- Proposing a ML Technology for Identification of Cardiovascular Disease by a Novel Interface for people of Bharat the nation having glorious medical history -- An application of machine learning to the process of analysing online reviews -- A Comprehensive Analysis of Replica Placement Algorithms in Content Delivery Network -- A Comprehensive Review of EEG Signals Based on Epileptic Seizure Detection -- Systematic Survey on Classification and Change Detection Algorithms for Remote Sensing of Mountains Regions -- Advancing the Machine Learning Workflow: A Comprehensive Analysis of Auto Machine Learning (Auto-ML) Techniques and Future Investigations -- Machine Learning Approaches for Evaluation of Chronic Kidney Disease -- Comprehensive Performance Analysis of Multiple Mango Leaf Diseases Detection Using Deep Learning -- Fruits Classification and Analysis in Hyperspectral Imaging using Deep Convolutional Neural Networks -- Bitwise-XOR for Cancelable Biometric. |
| Record Nr. | UNINA-9910991162603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Informatics for Computing Research : 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16–17, 2023, Revised Selected Papers, Part II / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Uttam Ghosh, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16–17, 2023, Revised Selected Papers, Part II / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Uttam Ghosh, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVI, 389 p. 160 illus., 123 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision |
| ISBN | 3-031-84059-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning -- Enhancing Breast Cancer Diagnosis and Prognosis Through Machine Learning and Deep Learning: A Comparative Analysis of Predictive Models -- Survival prediction of Primary Biliary Cholangitis disease: A Comparative Classification Analysis using Machine Learning Methods. -- Enhancing Predictive Accuracy in Used Car Pricing Models: A Comparative Analysis of Regression Techniques -- A Review on Machine Learning Based Approaches for Automated Detection of COVID-19 disease -- A Novel Sentiment Analysis of Teacher Trainees’ Views on Curriculum of Teacher Education Programmes in Maharashtra State of India -- Enhancing Diabetes Risk Assessment with Ensemble Learning Methods -- Fusing CNN and LSTM Models for Enhanced Fake News Detection using Deep Learning -- Driver Distraction Prediction: A Kernel Functions Analysis for Deep Kernelized Autoencoder -- Innovative VLSI-Based Approaches for Abnormal Heartbeat Detection -- Advanced Techniques for Agricultural Crop Yield Prediction using Machine Learning and Computer Vision -- An impact of Feature Selection in Association rule mining for Market Basket analysis -- Evaluating the Role of Deep Learning and Machine Learning in Understanding the Influence of Lifestyle and Environmental Factors on Obesity Prevalence and Formulating Tailored Intervention Approaches -- Emotion Detection by Face Tracking using ML Techniques -- Classification using Hybrid Classical-Quantum Machine Learning -- Deep Neural Network and Convolutional Neural Network Implementation in 5G enabled IoT for Enhanced Latency -- Exploring an Ensemble Classifier Approach for Predicting Crop Yields in India Using Climate Variability Data -- Interpreting Transfer Learning-based Convolutional Neural Networks for COVID-19 Detection in CT Scan Images -- Cloud-Powered Attendance Solutions: Streamlining Hourly Tracking with Facial Recognition on AWS -- Implementing an NFT by Developing a Smart Contract in OpenSea Marketplace -- Deep Fake Video Detection Using Transfer Learning Techniques -- Detecting Potholes using Machine Learning and Transfer Learning Models: Transforming Road Safety -- Hybrid-Sarcasm: An Approach for Sarcasm Detection and Classification using Hybrid MachineLearning Methods -- Text Mining Data Summarization Approach for COVID-19 using Hybrid Machine Learning Techniques -- Security and Privacy -- A Survey on Vehicular Ad Hoc Networks and Routing Protocols -- Investigating the Impact of Operating Systems and File Systems on Redis: A Comparative Study of Windows, Ubuntu, Ext4, and XFS -- FenceGuard Attendance: Secure and Efficient -- Investigating a Comprehensive IoT Security Solution Based on Blockchain -- A Comparative Analysis of Detection and Mitigation of False Data Injection Attacks in the Internet of Things -- Enhanced Malware Detection: Leveraging Volatility Analysis and Machine LearningSynergy. |
| Record Nr. | UNINA-9910991162803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Informàtica Investigació |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| Soggetto non controllato | Mathematics |
| ISBN | 3-031-09469-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996478861003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision |
| ISBN | 3-031-09469-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580172403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced informatics for computing research : 4th international conference, ICAICR 2020, Gurugram, India, December 26-27, 2020, revised selected papers, part II / / Ashish Kumar Luhach [and four others], editors
| Advanced informatics for computing research : 4th international conference, ICAICR 2020, Gurugram, India, December 26-27, 2020, revised selected papers, part II / / Ashish Kumar Luhach [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (297 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Computer architecture |
| ISBN | 981-16-3653-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Hardware -- Design and Simulation of a Coaxial Fed Slotted Wide-Band Rectenna for Wireless Power Transmission -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution -- 1.3 Organisation of the Paper -- 2 Proposed Rectenna Design -- 2.1 Slotted Antenna Design -- 2.2 Greinacher Voltage Doubler Iinspired Rectifier Circuit -- 3 Results and Discussions -- 3.1 Results of Slotted Antenna -- 3.2 Results for Rectifier Circuit -- 4 Conclusion -- 5 Future Work -- References -- Optimised Multi Energy System (OMES) for Electric Vehicle -- 1 Introduction -- 2 Literature Overview -- 3 Proposed Mechanism Using Solar Energy and MESS -- 4 Result Analysis -- 5 Conclusion -- References -- Modeling of Microstrip Patch Antenna Using Artificial Neural Network Algorithms -- 1 Introduction -- 2 Antenna Configuration -- 3 ANN Model of a Patch Antenna -- 4 ANN Algorithms -- 4.1 RBF Model -- 4.2 MLP Model -- 5 Determining the Parameters of Patch Antenna Using ANN -- 6 Modeling the Patch Antenna in CST -- 7 Conclusion -- References -- Smart PDM: A Novel Smart Meter for Design Measurement and Data Collection for Smart Grid -- 1 Introduction -- 2 Smart Meter -- 2.1 Introduction and Architecture -- 2.2 Challenges of Smart Meter -- 3 Smart PDM 1.0 - Smart Power Data Measurement System -- 3.1 System Model -- 3.2 Architecture -- 4 Working Prototype and Results -- 4.1 Step and Algorithm -- 4.2 Working of System -- 5 Results and Discussion -- 5.1 Test Results at the Laboratory -- 5.2 Test Results at a Household -- 5.3 Testing and Calibration -- 5.4 Conclusion and Future Scope -- References -- GSM Based Remote Distribution Transformer Condition Monitoring System -- 1 Introduction -- 2 Literature Review -- 3 Research Design -- 4 Case Study: PNG Power Ltd.
4.1 Distribution Transformer Current Measurement -- 4.2 Distribution Transformer Voltage Measurement -- 5 Hardware Simulation -- 5.1 Hardware Simulation with LCD Display -- 5.2 Hardware Simulation with GSM SIM808 Alert SMS -- 6 Conclusion -- References -- Networks -- Performance Analysis and Classification of Node Capture Attack Models in WSN -- 1 Introduction -- 2 Related Work -- 3 Modeling in Wireless Network -- 3.1 Key Distribution Modelling -- 3.2 Link-Based Modeling -- 3.3 Network-Based Modeling -- 3.4 Adversarial Based Modeling -- 4 Classification of Node Capture Attack Models -- 4.1 Random Attack (RA) -- 4.2 Maximum Key Attack (MKA) -- 4.3 Maximum Link Attack (MLA) -- 4.4 Dominating Node Attack (DNA) -- 4.5 Maximum Traffic Attack (MTA) -- 4.6 Greedy Node Capture Approximation Using Vulnerability Evaluation (GNAVE) -- 4.7 Matrix Based Attack (MA) -- 4.8 Full Graph Attack (FGA) -- 4.9 Opti-Graph Attack (OGA) -- 4.10 Minimum Resource Expenditure Attack (MREA) -- 4.11 Path Covering Attack (PCA) -- 4.12 Generic Algorithm (GA) -- 4.13 Fruit Fly Optimization Algorithm (FFOA) -- 4.14 Finding Robust Assailant Optimization-Particle Swarm Optimization and Genetic Algorithm (FiRAO-PG (GA)) -- 5 Simulations and Experiments -- 5.1 Fraction of Compromised Traffic -- 5.2 Energy Cost -- 6 Conclusion and Future Work -- References -- An Efficient IoT Based Framework for Missed Call Messaging Services for Electricity Consumers -- 1 Introduction -- 2 Review of Literature -- 3 Components of the Model -- 4 Block Diagram of Missed Call Messaging Service -- 5 Algorithm/Working of IoT Based Device -- 6 Advantages -- 7 Results and Discussion -- 8 Conclusion -- 9 Future Work -- References -- A Divide and Conquer Based Data Aggregation Technique for WBANs -- 1 Introduction -- 2 Related Work -- 3 Data Aggregation -- 4 Implementation and Observations. 4.1 Performance Evaluation w.r.t. Number of Packets -- 4.2 Performance Evaluation w.r.t. Energy Consumption -- 4.3 Performance Evaluation w.r.t. Average Delay -- 4.4 Performance Evaluation w.r.t. Packet Delivery Ratio -- 4.5 Performance Evaluation w.r.t. Network Lifetime -- 5 Coclusion and Future Scope -- References -- Open Research Challenges and Blockchain Based Security Solution for 5G Enabled IoT -- 1 Introduction -- 2 Open Challenges in 5G and IoT -- 2.1 IoT Emerging Technologies and Challenges -- 2.2 5G Emerging Technologies and Challenges -- 3 5G Enabled IoT Technologies and Challenges -- 3.1 Network Function Virtualization (NFV) -- 3.2 Heterogeneous Network (HetNet) -- 3.3 Device to Device Communication -- 3.4 Advanced Spectrum and Interference Administration -- 4 Suggested Security Solution -- 4.1 Blockchain Technique -- 4.2 Proposed Solution -- 5 Conclusion -- References -- A Performance Discussion of Web Crawler Using Some Advanced Factors -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 4 Proposed Work -- 5 Results -- 6 Comparison Chart -- 7 Conclusion -- 8 Future Scope -- References -- Internet of Things in Healthcare: A Review -- 1 Introduction -- 2 IoT in Disease Diagnostics -- 3 IoT for Health Monitoring -- 4 IoT in Predictive Medicine -- 5 IoT in Storage of Medicine -- 6 Challenges -- 7 Discussion and Conclusion -- References -- Inter-Vehicular Communication for Intelligent Collision Avoidance Using Machine Learning: An Overview -- 1 Introduction -- 2 Motivation -- 2.1 The Economy -- 2.2 The Lesson -- 2.3 The Problem -- 3 Background -- 4 Conventional System -- 5 Proposed System -- 5.1 Inter-Vehicular Communication (IVC) -- 5.2 Navigation with Indian Constellation (NavIC) -- 5.3 Machine Learning -- 5.4 Sensors -- 6 Functioning Methodology -- 6.1 Phase-I: Training -- 6.2 Phase-II: Actual Implementation. 7 System Workflow -- 8 Performance Measure -- 9 Observations -- 10 Conclusion -- 11 Limitations -- 12 Future Work -- References -- Wireless Sensor Networks Source Location Privacy Preservation Mechanism -- 1 Introduction -- 2 Existing Works -- 3 Problem Definition -- 4 Network Model -- 5 Adversary Model -- 6 PSLP Implementation -- 7 Phantom Nodes Determination -- 8 Fake Sources Determination -- 9 Performance Evaluation -- 10 Conclusions -- References -- A Study on Secure Data Aggregation and Routing for Wireless Sensor Networks -- 1 Introduction -- 2 Routing Strategy and Design Challenges in WSNs -- 3 Data Aggregation Scheme in WSN -- 4 Related Work -- 5 Security Schemes for Aggregation Routing -- 5.1 Key Management Scheme -- 5.2 Certification -- 5.3 Routing Security -- 6 Research Gap -- 7 Conclusion -- References -- Comparative Analysis of Internet of Things (IoT) Security Models -- 1 Introduction -- 2 Related Work -- 3 Overview of the Existing Security Models -- 3.1 The Amazon Web Service Model -- 3.2 Trust Model in IoT-Enabled Vehicular Netwokrs -- 3.3 Autonomous IoT/IıoT Security Model -- 4 Analysis and Discussion -- 5 Future Scope in IoT-Based Security -- 6 Conclusion -- References -- Study of Energy Efficient Routing Protocols for Adhoc-Wireless Sensor Networks -- 1 Introduction -- 2 Classification of RPs -- 2.1 Proactive RPs -- 2.2 Reactive RPs -- 2.3 Hybrid RPs -- 3 Latest Research Works Reported in Literature -- 4 Conclusion -- References -- IoT Based Smart Transport Management System -- 1 Introduction -- 2 Traffic Congestion Control System -- 3 Traffic Density Monitoring Module (TDMM) -- 4 Traffic Message Channel (TMC) -- 5 Traffic Management Module (TMM) -- 6 Working of Traffic Density Monitoring Module -- 7 Case Study: 1 -- 8 Case Study: 2 -- 9 Vehicle to Vehicle Communication Protocol Design -- 10 Conclusion -- References. Vehicular Ad Hoc Network: Routing Protocols -- 1 Introduction -- 2 Routings Protocols of VANET -- 2.1 Based on Topology -- 2.2 Based on Position -- 2.3 Based on Cluster -- 2.4 Based on Broadcast -- 2.5 Based on Geo-Cast -- 3 Distance Sequance Distance Vector -- 4 Dynamic Source Routing Protocol -- 5 Zone Routing Protocol -- 6 Conclusion -- References -- A Reluctant Checksum Scheme Based on the Inherent Characteristic of Wireless Networks -- 1 Introduction -- 2 Literature Survey -- 2.1 Enhanced Protection Use of the Physical Layer -- 2.2 GloMoSim: A Library for Large-Scale Wireless Network Emulation -- 2.3 Wireless Protection in the Physical Layer via Pre-coding Transmission via Dispersive Channels -- 2.4 Wireless Protection Physical Layer Made the Channel Independent and Fast -- 2.5 In the Face of a Military Interference with ARQ-Based Wireless Communication Networks -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Security and Privacy -- Anomaly Based Detection of Cross Site Scripting Attack in Web Applications Using Gradient Boosting Classifier -- 1 Introduction -- 1.1 XSS Attack -- 1.2 Gradient Boosting Classifier -- 1.3 Intrusion Detection System -- 2 Literature Survey -- 3 Problem Statement -- 4 Description of the Proposed System -- 4.1 Data Analysis -- 4.2 Feature Selection -- 4.3 Prediction -- 5 Implementation -- 5.1 The Dataset -- 5.2 Correlation -- 5.3 Performance Evaluation Metrics -- 6 Result and Conclusion -- 7 Future Enhancements -- References -- Crypto Key Protection Generated from Images and Chaotic Logistic Maps -- 1 Introduction -- 2 Background Survey -- 3 Proposed Approach with Its Implementation -- 3.1 Basic Terminology -- 3.2 Algorithm -- 3.3 Experimental Evaluation -- 4 Conclusion and Future Scope -- References. An Effıcıent Fault Management in Communication Networks Usıng On Demand Link State Algorıthm. |
| Record Nr. | UNISA-996464411803316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Informàtica |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-3660-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Computing Methodologies -- Analysis of Developers' Sentiments in Commit Comments -- 1 Introduction -- 2 Related Literature -- 3 Research Methodology -- 3.1 Research Data -- 3.2 Sentiment Analysis -- 4 Results -- 5 Threat to Validity -- 6 Conclusions -- References -- Design of UML Diagrams for Intervention for Autism Children (IAC System) -- 1 Introduction -- 2 Functionalities of the System -- 3 Proposed IAC System -- 3.1 System Architecture -- 3.2 Data Flow Diagram -- 4 UML Diagrams -- 4.1 UML Usecase Diagram -- 4.2 UML Class Diagram -- 4.3 UML Activity Diagram -- 4.4 UML Sequence Diagram -- 4.5 UML Collaboration Diagram -- 4.6 UML State Machine Diagram -- 4.7 UML Component Diagram -- 4.8 UML Deployment Diagram -- 5 Experimental Results -- 6 Conclusion and Future Enhancement -- References -- Data Analysis and Forecasting of COVID-19 Outbreak in India Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Methodology -- 4 Result Analysıs -- 5 Conclusion -- References -- Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images -- 1 Introduction -- 2 Analysis Color Fundus Images -- 2.1 Image Pre-processing -- 2.2 Dataset -- 2.3 DRISHTI-GS -- 3 Partitioning -- 4 Fundus Photography Sustainability with the Latest Devices in Current Health-Care Also -- 5 Limitations in the Earlier Fundus Camera -- 6 Machine Learning Methods for Vessel Extraction -- 7 Conclusion -- References -- Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study -- 1 Introduction -- 2 Background -- 3 Model -- 4 Fuzzy Controller -- 5 Results -- 6 Conclusion -- References -- Cancer Prediction Using Novel Ranking Algorithms and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology.
3.1 Ranking Based Algorithms -- 3.2 MAR (Mean Accuracy Ranking) -- 3.3 CDR (Class Differential Ranking) -- 3.4 PCR (Per Class Ranking) -- 4 Experimentation and Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Applying Base Classifiers -- 4.4 Applying Ranking Based Algorithms -- 4.5 Final Model -- 4.6 Comparison of Results with Previous Work -- 5 Conclusion -- References -- Supervısed Learnıng Algorıthm: A Survey -- 1 Introduction -- 2 Methodologies Analysis in Supervised Learning -- 2.1 Logistic Regression -- 2.2 Support Vector Classifier -- 2.3 Decision Tree -- 2.4 Random Forest Classifiers -- 3 Related Work -- 4 Chart of References -- 5 Conclusıon and Future Scope -- References -- Searching Sub-classes Within Type Ia Supernova Using DBSCAN -- 1 Introduction -- 2 Data Set -- 3 Methodology -- 3.1 Validity of DBSCAN -- 4 Results -- 5 Conclusions -- 6 Scope of Study -- References -- Abnormality Detection Based on ECG Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Software Requirements -- 3.2 Our Methodology -- 4 Flowchart of the Proposed Model -- 5 Experiments and Results -- 5.1 Observation Table -- 6 Conclusion -- References -- Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach -- 1 Introduction -- 2 Literature Review -- 3 Algorithms and Techniques Used -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Bi-directional Long Short-Term Memory (Bi-LSTM) -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Data Analysis -- 4.3 Data Pre-processing -- 4.4 Data Conversion to Input Matrix -- 4.5 Build LSTM and Bi-LSTM Model -- 5 Experimental Results and Analysis -- 6 Conclusion and Future Scope -- References -- On the Effects of Substitution Matrix Choices for Pairwise Gapped Global Sequence Alignment of DNA Nucleotides -- 1 Background -- 2 Methods -- 3 Results and Discussion. 4 Conclusion and Future Work -- References -- Case Based Reasoning Approaches for Reuse and Adaptation in Community Question Answering System -- 1 Introduction -- 2 Research Perspective -- 2.1 CQA Approach -- 2.2 Case Based Analysis for Reuse of Information -- 2.3 Textual Comparison Systems -- 2.4 Graphical Textual Likeliness Approach -- 2.5 Bayesian System for Query-Responses -- 3 Experimentation and Methodology -- 3.1 Graphical Configuration -- 3.2 Initial Processing -- 3.3 Similarity Methods -- 3.4 Reuse and Adaptation -- 4 Assessment -- 4.1 Characteristics and Threshold Limits -- 4.2 Association with Human Assessment -- 4.3 Recall and Precision -- 5 Discussion -- 6 Conclusions -- References -- Depression Detection During the Covid 19 Pandemic by Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Result Analysis from Literature Survey -- 5 Limitation -- 6 Conclusion and Future Work -- References -- Mucus Plug Blockage Detection in COVID-19 Patient's Chest X-Ray Using Instance Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Result Analysis -- 4 Conclusion -- References -- Applying Machine Learning to Detect Depression-Related Texts on Social Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Analysis -- 3.2 Tools -- 4 Data Exploration -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Usability Improvements in E-Governance Applications with Simple and Usable Interface (Design Stage) -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Proposed Tools and Technique -- 3.2 Proposed Data -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- 5.1 Future Scope for Researchers -- 5.2 Future Scope for Public Administrator -- References. PGF Cyberpolicing to Defuse Fake Government of Telangana (FGoT), Fake Government of India (FGoI) and Cybercriminal Legacy -- 1 Introduction -- 2 What Is Fake Government of India - The First FGIIH? -- 3 PGF's AI Solution Approach to CSFGoT -- 4 Disaster Management of Big Data Crimes -- 4.1 The Corona Menace vis-a-vis the FGoT/FGoI Menace -- 5 Cognitive Visuals of Cyberpolicing R& -- D Chief's PGF Organizational Efforts for Adaptive Academic Management: Google Plus Social Network Account, Kcraiah's Snapshots -- 6 Conclusions -- References -- Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions -- 1 Introduction -- 2 Related Work -- 3 Energy Analysis - An Extended Version -- 4 COVID-19 and ML Algorithms -- 4.1 RandomForest - A Brief -- 4.2 COVID-19 Predictions -- 4.3 Popular Packages -- 5 Experimental Results -- 5.1 Validation Analysis -- 5.2 Prediction Analysis -- 5.3 Energy Consumption Analysis -- 6 Conclusion -- References -- Performance Analysis of Deep Learning Classification for Agriculture Applications Using Sentinel-2 Data -- 1 Introduction -- 2 Study Area and Satellite Dataset -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Deep Learning Process -- 3.3 Classification -- 4 Experimental Analysis -- 5 Conclusion -- References -- Smart Approach for Identification of Pneumonia Using Real-Time Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 System Blueprint -- 3.1 Processing System -- 3.2 Setting up System for Use -- 3.3 Anaconda IDE and Jupyter Notebook -- 3.4 Project Environment -- 3.5 Proposed Model -- 3.6 Modeling -- 3.7 Training -- 4 Experimental Results and Outcomes -- 4.1 Data Enrichment -- 4.2 Performance Measures -- 5 Experimental Results -- 5.1 Results -- 5.2 Accuracy and Loss of Proposed Model -- 6 Conclusion and Future Scopes -- References. A Comparative Study of Deep Learning Techniques for Emotion Estimation Based on E-Learning Through Cognitive State Analysis -- 1 Introduction -- 1.1 Emotion Identification with Facial Expressions -- 1.2 Facial Expression Analysis in E-Learning Systems -- 1.3 Introduction to Cognitive State Analysis in Education -- 2 Related Work -- 3 Comparison Among Various Methods -- 4 Result Analysis from Literature Review -- 5 Conclusion -- References -- Detection of Epileptic Seizures in Long-Term Human EEG by Improved Linear Discriminant Analysis (ILDA) -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Convolutional Neural Networks -- 4.1 Linear Discriminant Analysis -- 5 Results -- 5.1 Performance Analysis -- 6 Conclusion -- References -- Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Dataset Training Flowchart -- 2.3 Output Data Flowchart -- 3 Experiment and Results -- 3.1 Procedure -- 3.2 Results -- 4 Advantages and Disadvantages -- 4.1 Advantages -- 4.2 Disadvantages -- 5 Conclusion -- References -- An Attention Based Automatic Image Description Generation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture -- 4 Training Process -- 5 Experiments Conduction and Result Analysis -- 5.1 Data set -- 5.2 Visualizations from Our Attention Models -- 5.3 Results Obtained -- 6 Conclusion -- 7 Future Scope -- References -- Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds -- 1 Introduction -- 2 Materials and Methods -- 2.1 Audio Features in the Time Domain -- 2.2 Zero-Crossing Rate -- 3 Results -- 3.1 Dataset -- 4 Conclusion -- References -- Mobilenet V2-FCD: Fake Currency Note Detection -- 1 Introduction -- 2 Literature Study -- 3 Proposed System -- 3.1 Data Collection -- 3.2 Data Pre-processing. 3.3 Data Augmentation. |
| Record Nr. | UNISA-996464506403316 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part II / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part II / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (297 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Computer systems Coding theory Information theory Cryptography Data encryption (Computer science) Application software Artificial Intelligence Computer Communication Networks Computer System Implementation Coding and Information Theory Cryptology Computer and Information Systems Applications |
| ISBN | 981-16-3653-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hardware -- Networks -- Security and Privacy. |
| Record Nr. | UNINA-9910485587303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Hawari Bin Ghazali, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Informàtica |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-3660-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Computing Methodologies -- Analysis of Developers' Sentiments in Commit Comments -- 1 Introduction -- 2 Related Literature -- 3 Research Methodology -- 3.1 Research Data -- 3.2 Sentiment Analysis -- 4 Results -- 5 Threat to Validity -- 6 Conclusions -- References -- Design of UML Diagrams for Intervention for Autism Children (IAC System) -- 1 Introduction -- 2 Functionalities of the System -- 3 Proposed IAC System -- 3.1 System Architecture -- 3.2 Data Flow Diagram -- 4 UML Diagrams -- 4.1 UML Usecase Diagram -- 4.2 UML Class Diagram -- 4.3 UML Activity Diagram -- 4.4 UML Sequence Diagram -- 4.5 UML Collaboration Diagram -- 4.6 UML State Machine Diagram -- 4.7 UML Component Diagram -- 4.8 UML Deployment Diagram -- 5 Experimental Results -- 6 Conclusion and Future Enhancement -- References -- Data Analysis and Forecasting of COVID-19 Outbreak in India Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Methodology -- 4 Result Analysıs -- 5 Conclusion -- References -- Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images -- 1 Introduction -- 2 Analysis Color Fundus Images -- 2.1 Image Pre-processing -- 2.2 Dataset -- 2.3 DRISHTI-GS -- 3 Partitioning -- 4 Fundus Photography Sustainability with the Latest Devices in Current Health-Care Also -- 5 Limitations in the Earlier Fundus Camera -- 6 Machine Learning Methods for Vessel Extraction -- 7 Conclusion -- References -- Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study -- 1 Introduction -- 2 Background -- 3 Model -- 4 Fuzzy Controller -- 5 Results -- 6 Conclusion -- References -- Cancer Prediction Using Novel Ranking Algorithms and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology.
3.1 Ranking Based Algorithms -- 3.2 MAR (Mean Accuracy Ranking) -- 3.3 CDR (Class Differential Ranking) -- 3.4 PCR (Per Class Ranking) -- 4 Experimentation and Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Applying Base Classifiers -- 4.4 Applying Ranking Based Algorithms -- 4.5 Final Model -- 4.6 Comparison of Results with Previous Work -- 5 Conclusion -- References -- Supervısed Learnıng Algorıthm: A Survey -- 1 Introduction -- 2 Methodologies Analysis in Supervised Learning -- 2.1 Logistic Regression -- 2.2 Support Vector Classifier -- 2.3 Decision Tree -- 2.4 Random Forest Classifiers -- 3 Related Work -- 4 Chart of References -- 5 Conclusıon and Future Scope -- References -- Searching Sub-classes Within Type Ia Supernova Using DBSCAN -- 1 Introduction -- 2 Data Set -- 3 Methodology -- 3.1 Validity of DBSCAN -- 4 Results -- 5 Conclusions -- 6 Scope of Study -- References -- Abnormality Detection Based on ECG Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Software Requirements -- 3.2 Our Methodology -- 4 Flowchart of the Proposed Model -- 5 Experiments and Results -- 5.1 Observation Table -- 6 Conclusion -- References -- Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach -- 1 Introduction -- 2 Literature Review -- 3 Algorithms and Techniques Used -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Bi-directional Long Short-Term Memory (Bi-LSTM) -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Data Analysis -- 4.3 Data Pre-processing -- 4.4 Data Conversion to Input Matrix -- 4.5 Build LSTM and Bi-LSTM Model -- 5 Experimental Results and Analysis -- 6 Conclusion and Future Scope -- References -- On the Effects of Substitution Matrix Choices for Pairwise Gapped Global Sequence Alignment of DNA Nucleotides -- 1 Background -- 2 Methods -- 3 Results and Discussion. 4 Conclusion and Future Work -- References -- Case Based Reasoning Approaches for Reuse and Adaptation in Community Question Answering System -- 1 Introduction -- 2 Research Perspective -- 2.1 CQA Approach -- 2.2 Case Based Analysis for Reuse of Information -- 2.3 Textual Comparison Systems -- 2.4 Graphical Textual Likeliness Approach -- 2.5 Bayesian System for Query-Responses -- 3 Experimentation and Methodology -- 3.1 Graphical Configuration -- 3.2 Initial Processing -- 3.3 Similarity Methods -- 3.4 Reuse and Adaptation -- 4 Assessment -- 4.1 Characteristics and Threshold Limits -- 4.2 Association with Human Assessment -- 4.3 Recall and Precision -- 5 Discussion -- 6 Conclusions -- References -- Depression Detection During the Covid 19 Pandemic by Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Result Analysis from Literature Survey -- 5 Limitation -- 6 Conclusion and Future Work -- References -- Mucus Plug Blockage Detection in COVID-19 Patient's Chest X-Ray Using Instance Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Result Analysis -- 4 Conclusion -- References -- Applying Machine Learning to Detect Depression-Related Texts on Social Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Analysis -- 3.2 Tools -- 4 Data Exploration -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Usability Improvements in E-Governance Applications with Simple and Usable Interface (Design Stage) -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Proposed Tools and Technique -- 3.2 Proposed Data -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- 5.1 Future Scope for Researchers -- 5.2 Future Scope for Public Administrator -- References. PGF Cyberpolicing to Defuse Fake Government of Telangana (FGoT), Fake Government of India (FGoI) and Cybercriminal Legacy -- 1 Introduction -- 2 What Is Fake Government of India - The First FGIIH? -- 3 PGF's AI Solution Approach to CSFGoT -- 4 Disaster Management of Big Data Crimes -- 4.1 The Corona Menace vis-a-vis the FGoT/FGoI Menace -- 5 Cognitive Visuals of Cyberpolicing R& -- D Chief's PGF Organizational Efforts for Adaptive Academic Management: Google Plus Social Network Account, Kcraiah's Snapshots -- 6 Conclusions -- References -- Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions -- 1 Introduction -- 2 Related Work -- 3 Energy Analysis - An Extended Version -- 4 COVID-19 and ML Algorithms -- 4.1 RandomForest - A Brief -- 4.2 COVID-19 Predictions -- 4.3 Popular Packages -- 5 Experimental Results -- 5.1 Validation Analysis -- 5.2 Prediction Analysis -- 5.3 Energy Consumption Analysis -- 6 Conclusion -- References -- Performance Analysis of Deep Learning Classification for Agriculture Applications Using Sentinel-2 Data -- 1 Introduction -- 2 Study Area and Satellite Dataset -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Deep Learning Process -- 3.3 Classification -- 4 Experimental Analysis -- 5 Conclusion -- References -- Smart Approach for Identification of Pneumonia Using Real-Time Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 System Blueprint -- 3.1 Processing System -- 3.2 Setting up System for Use -- 3.3 Anaconda IDE and Jupyter Notebook -- 3.4 Project Environment -- 3.5 Proposed Model -- 3.6 Modeling -- 3.7 Training -- 4 Experimental Results and Outcomes -- 4.1 Data Enrichment -- 4.2 Performance Measures -- 5 Experimental Results -- 5.1 Results -- 5.2 Accuracy and Loss of Proposed Model -- 6 Conclusion and Future Scopes -- References. A Comparative Study of Deep Learning Techniques for Emotion Estimation Based on E-Learning Through Cognitive State Analysis -- 1 Introduction -- 1.1 Emotion Identification with Facial Expressions -- 1.2 Facial Expression Analysis in E-Learning Systems -- 1.3 Introduction to Cognitive State Analysis in Education -- 2 Related Work -- 3 Comparison Among Various Methods -- 4 Result Analysis from Literature Review -- 5 Conclusion -- References -- Detection of Epileptic Seizures in Long-Term Human EEG by Improved Linear Discriminant Analysis (ILDA) -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Convolutional Neural Networks -- 4.1 Linear Discriminant Analysis -- 5 Results -- 5.1 Performance Analysis -- 6 Conclusion -- References -- Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Dataset Training Flowchart -- 2.3 Output Data Flowchart -- 3 Experiment and Results -- 3.1 Procedure -- 3.2 Results -- 4 Advantages and Disadvantages -- 4.1 Advantages -- 4.2 Disadvantages -- 5 Conclusion -- References -- An Attention Based Automatic Image Description Generation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture -- 4 Training Process -- 5 Experiments Conduction and Result Analysis -- 5.1 Data set -- 5.2 Visualizations from Our Attention Models -- 5.3 Results Obtained -- 6 Conclusion -- 7 Future Scope -- References -- Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds -- 1 Introduction -- 2 Materials and Methods -- 2.1 Audio Features in the Time Domain -- 2.2 Zero-Crossing Rate -- 3 Results -- 3.1 Dataset -- 4 Conclusion -- References -- Mobilenet V2-FCD: Fake Currency Note Detection -- 1 Introduction -- 2 Literature Study -- 3 Proposed System -- 3.1 Data Collection -- 3.2 Data Pre-processing. 3.3 Data Augmentation. |
| Record Nr. | UNINA-9910485587203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Informatics for Computing Research : Third International Conference, ICAICR 2019, Shimla, India, June 15–16, 2019, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras
| Advanced Informatics for Computing Research : Third International Conference, ICAICR 2019, Shimla, India, June 15–16, 2019, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (492 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer vision Data protection Application software Algorithms Computers - Law and legislation Information technology - Law and legislation Artificial Intelligence Computer Vision Data and Information Security Computer and Information Systems Applications Legal Aspects of Computing |
| ISBN | 981-15-0108-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910350216803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Informatics for Computing Research : Second International Conference, ICAICR 2018, Shimla, India, July 14–15, 2018, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh, Pao-Ann Hsiung, Kamarul Bin Ghazali Hawari, Pawan Lingras, Pradeep Kumar Singh
| Advanced Informatics for Computing Research : Second International Conference, ICAICR 2018, Shimla, India, July 14–15, 2018, Revised Selected Papers, Part I / / edited by Ashish Kumar Luhach, Dharm Singh, Pao-Ann Hsiung, Kamarul Bin Ghazali Hawari, Pawan Lingras, Pradeep Kumar Singh |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXI, 830 p. 495 illus., 313 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Artificial Intelligence Computer Communication Networks |
| ISBN | 981-13-3140-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computing methodologies -- Hardware -- Information systems -- Networks -- Security and privacy -- Computing methodologies. . |
| Record Nr. | UNINA-9910350238203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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